\Header{lines.survfit}{Add Lines or Points to a Survival Plot}
\alias{points.survfit}{lines.survfit}
\keyword{survival}{lines.survfit}
\begin{Description}\relax
Often used to add the expected survival curve(s) to a Kaplan-Meier plot
generated with \code{plot.survfit}.\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'survfit':
lines(x, type="s", mark=3, col=1, lty=1,
lwd=1, mark.time=TRUE , xscale=1,  firstx=0, firsty=1, xmax, fun, conf.int=FALSE,  ...)
## S3 method for class 'survfit':
points(x, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] a survival object, generated from the \code{survfit} or \code{survexp} functions.

\item[\code{type}] the line type, as described in \code{lines}.  The default is a step function
for \code{survfit} objects, and a connected line for \code{survexp} objects.

\item[\code{mark}] vectors giving the mark symbol, color, line type and line width for the
added curves.

\item[\code{mark.time}] controls the labeling of the curves.  
If \code{FALSE}, no labeling is done.  
If \code{TRUE}, then curves are marked at each censoring time.  
If \code{mark.time} is a numeric vector, then curves are marked at 
the specified time points.

\item[\code{xscale}] a number used to divide the x values.  If time was originally in days, a
value of 365.24 would give a plotted scale in years.

\item[\code{firstx,firsty}] the starting point for the survival curves.  If either of these is set to
\code{NA} or <blank> the plot will start at the first time point of the curve.

\item[\code{col,lty,lwd,...}] passed to \code{\Link{lines}}
\item[\code{xmax}] the maximum horizontal plot coordinate.    
This shortens the curve before plotting it, so unlike using the
\code{xlim} graphical parameter, warning messages about out of bounds points are
not generated.

\item[\code{fun}] an arbitrary function defining a transformation of the survival curve.
For example \code{fun=log} is an alternative way to draw a log-survival curve
(but with the axis labeled with log(S) values).
Four often used transformations can be specified with a character
argument instead: \code{"log"} is the same as using the \code{log=T} option,
\code{"event"} plots cumulative events (f(y) =1-y),
\code{"cumhaz"} plots the cumulative hazard function (f(y) = -log(y))
and \code{"cloglog"} creates a complementary log-log survival plot 
(f(y) = log(-log(y)) along with log scale for the x-axis).
\item[\code{conf.int}] if TRUE, confidence bands for the curves are also plotted.
If set to \code{"only"}, then only the CI bands are plotted, and the curve
itself is left off.  
This can be useful for fine control over the colors or line types of a plot.

\end{ldescription}
\end{Arguments}
\begin{Value}
a list with components \code{x} and \code{y}, containing the coordinates of the
last point on each of the curves (but not of the confidence limits).
This may be useful for labeling.\end{Value}
\begin{Section}{Side Effects}
one or more curves are added to the current plot.\end{Section}
\begin{SeeAlso}\relax
\code{\Link{lines}}, \code{\Link{par}}, \code{\Link{plot.survfit}}, \code{\Link{survfit}}, \code{\Link{survexp}}.\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
data(pbc)
fit <- survfit(Surv(time, status) ~ sex, pbc,subset=1:312)
plot(fit, mark.time=FALSE, xscale=365.24,
        xlab='Years', ylab='Survival')
lines(fit[1], lwd=2, xscale=365.24)    #darken the first curve and add marks

# add expected survival curves for the two groups,
#   based on the US expected
tdata <- data.frame(age=pbc$age*365.24, sex=pbc$sex +1,
                    year= rep(mdy.date(1,1,1976), nrow(pbc)))
tdata<-tdata[1:312,] ## only the randomised people, with no missing data
data(ratetables)
efit <- survexp(~ sex+ratetable(sex=sex,age=age,year=year), data=tdata, ratetable=survexp.us, times=(0:24)*182)
temp <- lines(efit, lty=2, xscale=365.24, lwd=2:1)
text(temp, c("Male", "Female"), adj= -.1) #labels just past the ends
title(main="Primary Biliary Cirrhosis, Observed and Expected")
\end{ExampleCode}
\end{Examples}

